Data ingestion and aggregation

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Reference no: EM132715828 , Length: word count:1500

Assignment

This is an individual assignment. You are required to write a critical report based on the following title:

"A Critical Evaluation of an Enterprise Wide Real-Time Data Analytics Adoption"

Considering that you have developed a ‘data analytics engine' on travel expenses and tourism department in Canada using machine learning and data analytics approaches.
After reviewing the benefits of the ‘data analytics engine', you are asked to implement your analytics engine for performing a real-time data analysis processing implementation.

The aim of this assignment is to critically evaluate and reflect on the developing of an ‘enterprise wide real-time data analytics adoption' strategy. This report is divided into the following tasks:

Task-1: Critically evaluate the significance of the following aspects in your real-time data analytics adoption strategy by relating to the data analytics engine:
• Data Ingestion and aggregation
• Role of Data Mart and Data Warehouse
• Advantages/disadvantages of real-time data analysis
• Automated analysis using machine learning algorithms
You are also required to provide examples for the above in your critical evaluation. The suggested word limit for this task is 600 words.

Task-2: Compare and contrast the following data processing options/aspects for your enterprise wide data analytics strategy:
• Complex event processing
• Extract, Transform & Load (ETL) Pipeline
• Interactive dashboards
• Geo-spatial analysis
The suggested word limit for this task is 600 words.

Task-3: Data stream processing plays a pivotal role in a real-time data analytics adoption strategy. In this task, provide recommendations for developing an automated data stream processing pipeline for performing Business Intelligence (BI) in the organisation of the Assignment 1 scenario.
The suggested word limit for this task is 300 words.

Presentation, Report Layout and References

Reference no: EM132715828

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